A method to incorporate prior information into score test for genetic association studies.

ABSTRACT:

Background

The interest of the scientific community in investigating the impact of rare variants on complex traits has stimulated the development of novel statistical methodologies for association studies. The fact that many of the recently proposed methods for association studies suffer from low power to identify a genetic association motivates the incorporation of prior knowledge into statistical tests.

Results

In this article we propose a methodology to incorporate prior information into the region-based score test. Within our framework prior information is used to partition variants within a region into several groups, following which asymptotically independent group statistics are constructed and then combined into a global test statistic. Under the null hypothesis the

SUBMITTER: Zakharov S 

PROVIDER: S-EPMC3904928 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature